U.S. News & World Report publishes the average starting salary and the average G

Question

U.S. News & World Report publishes the average starting salary and the average GMAT score for MBA graduates at each of the top 80 ranked schools in the country. The data fit the following regression line:
Y = 288X – 111,408 where X is the average GMAT score for students at a school and Y is the average starting salary for graduates from that same school.

What is a proper interpretation of the coefficient 288 in the regression equation?

Average salary will be within plus or minus $288 from $111,408

For each additional point in the average GMAT for a school, the average salary of the graduates from that school tends to be $288 higher

If a graduate of a school improves her/his GMAT by an additional point, he/she will make $288 more in salary

Average salary will be within plus or minus $288 from $111,408

For each additional point in the average GMAT for a school, the average salary of the graduates from that school tends to be $288 higher

If a graduate of a school improves her/his GMAT by an additional point, he/she will make $288 more in salary

Explanation / Answer

The slope is the consistent change between x and y.

Hence answer is

For each additional point in the average GMAT for a school, the average salary of the graduates from that school tends to be $288 higher

For each additional point in the average GMAT for a school, the average salary of the graduates from that school tends to be $288 higher

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